Karate Club is an unsupervised machine learning extension library for NetworkX.
Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping commmunity detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
Code: https://github.com/benedekrozemberczki/karateclub
Paper: https://link.springer.com/chapter/10.1007/978-3-030-36718-3_1
https://karateclub.readthedocs.io